Hi — I'm Margalit Hazani 👋
Practical Software Engineering graduate specializing in Full-Stack Development, Cloud Integration, and Autonomous AI Agents.

I build scalable, modern web applications, architect robust backend systems, and automate workflows using AI agents and cloud infrastructure. I combine strong architectural thinking with end-to-end system design capabilities, enjoy solving complex problems, writing clean code, and contributing to open-source software.

React (Vite) • TypeScript • Python • LangGraph • MongoDB • AWS (S3) • Docker • CI/CD

• Core Architecture & Feature Development: Single-handedly designed, built, and integrated a high-performance, responsive and adaptive community forum built with React (Vite) & TypeScript into the SAFEAI613 platform. Developed dynamic features including advanced post generation, interactive comment trees, ratings, and administrative moderation tools, ensuring an intuitive UX.
• Autonomous AI Agents:
  • Version Release Agent (LangGraph & MongoDB): Built an autonomous deployment & verification agent featuring prompt injection guardrails, automated typechecking, dynamic test execution, and parallel multi-model consensus for release readiness. Integrated Human-in-the-Loop (HITL) graph interruption for operator approvals and automated standalone HTML release report generation with full execution tracing in MongoDB.
  • User Engagement Agent (React & TypeScript): Developed an automated bot that monitors real-time platform activity to generate targeted, context-aware daily posts during low-activity windows, driving continuous user engagement.
  • System Monitoring Agent (LangGraph & Python): Architected an autonomous agent to analyze and process system logs, automatically summarizing maintenance issues and proactively recommending performance optimizations.
• Intelligent Writing Assistant: Developed an interactive in-forum AI assistant leveraging LLM APIs to provide real-time, context-based suggestions for post titles, automated tagging, and advanced content refinement.
• Semantic Search & Recommendation Engine: Implemented vector embeddings to power a high-accuracy semantic search engine and an intelligent recommendation system that dynamically surfaces related posts.
• Token & Cost Optimization: Applied strict token-management and context-window optimization strategies to minimize LLM API consumption costs, manage rate limits, and maintain low-latency responses.
• AI-Assisted Development & Best Practices: Expertly utilized advanced AI copilots (Claude Code, Gemini, Amazon Q) to accelerate development velocity, perform refactoring, and ensure robust code quality.
• Secure Cloud Storage & Media Handling: Engineered a secure, fast-loading media upload pipeline via AWS S3 with comprehensive client- and server-side file validation, supporting seamless attachments of images and documents.
• Forum-Specific & Full-Site SEO: Architected a robust SEO framework for both the platform and forum, utilizing dynamic meta tags and asset-caching techniques that dramatically accelerated page rendering and indexing.
• CI/CD, Containerization & DevOps: Dockerized the entire application and microservices to guarantee environment consistency, conducted comprehensive unit testing, streamlined CI/CD deployment pipelines, and achieved significant web performance speedups.
• Version Control & Collaboration: Managed repositories adhering to Git Flow best practices, conducted structured code reviews via Pull Requests (PRs), resolved complex merge conflicts, and maintained clean commit histories.
• Agile & Teamwork: Managed tasks and project backlogs using Jira within an Agile/Scrum workflow, participating in daily standups and sprint planning to ensure structured, iterative development.
• Asynchronous Architecture: Leveraged robust Async/Await patterns to handle non-blocking I/O operations, optimizing backend throughput and ensuring smooth integration with external LLM endpoints and cloud services.

C# • .NET • Open Source • Git Flow

• Library Enhancement: Actively contributed to the popular C# console UI framework (spectreconsole/spectre.console).
• Feature Implementation: Engineered and added core methods (such as IncrementMaxValue on progress tracking components) and optimizations, submitting reviewed and tested Pull Requests adhering to strict upstream code standards.

N8N • Airtable • Baserow • API Integration

• Automated Data Pipelines: Designed and deployed end-to-end automated workflows using N8N to connect heterogeneous cloud services, internal applications, and external APIs for rapid data transfer.
• Agile Data Management: Leveraged Baserow and Airtable as agile, cloud-based data layers to efficiently store, sync, and query structured data supporting automated agents and backend services.

Mathematics 5 Units Linear Algebra Boolean Algebra Statistics